| Ranking | City | Production value¹ | Soy production² | Average yield³ | Number of establishments |
|---|---|---|---|---|---|
| 1 | Tupanciretã | 526084 | 494609 | 3.543527 | 832 |
| 2 | Júlio de Castilhos | 398016 | 382200 | 3.588665 | 721 |
| 3 | Cruz Alta | 354114 | 335237 | 3.689112 | 376 |
| 4 | São Gabriel | 341687 | 324622 | 2.716866 | 498 |
| 5 | Santa Bárbara do Sul | 318253 | 305798 | 4.012202 | 549 |
| 6 | Palmeira das Missões | 317178 | 303013 | 3.737348 | 669 |
| 7 | Cachoeira do Sul | 314388 | 296988 | 2.980520 | 518 |
| 8 | Dom Pedrito | 291356 | 269320 | 2.909586 | 233 |
| 9 | Jóia | 222875 | 216667 | 3.153125 | 1015 |
| 10 | São Luiz Gonzaga | 202823 | 195717 | 3.337545 | 530 |
| 11 | São Miguel das Missões | 201015 | 196881 | 3.271427 | 487 |
| 12 | Giruá | 196484 | 193933 | 3.467486 | 1225 |
| 13 | Rio Pardo | 186488 | 174771 | 3.057575 | 387 |
| 14 | Carazinho | 185160 | 172005 | 4.105327 | 274 |
| 15 | Capão do Cipó | 179273 | 174767 | 2.522363 | 294 |
| 16 | São Sepé | 175423 | 167079 | 3.055522 | 372 |
| 17 | Lagoa Vermelha | 169436 | 158998 | 3.639897 | 480 |
| 18 | São Borja | 167738 | 167969 | 2.848525 | 256 |
| 19 | Espumoso | 165580 | 161089 | 3.556834 | 867 |
| 20 | Bagé | 163861 | 148832 | 3.016580 | 138 |
| Note: | |||||
| 1 in x1000 R$; | |||||
| 2 in tonnes; | |||||
| 3 in tones/ha |
| Ranking | City | Production value¹ | Soy production² | Average yield³ | Number of establishments |
|---|---|---|---|---|---|
| 1 | Tupanciretã | 593392 | 477910 | 3.205299 | 832 |
| 2 | Cruz Alta | 434700 | 326160 | 3.507097 | 376 |
| 3 | Júlio de Castilhos | 418000 | 332400 | 3.613043 | 721 |
| 4 | Palmeira das Missões | 386756 | 318100 | 3.518805 | 669 |
| 5 | Santa Bárbara do Sul | 372720 | 279610 | 4.011621 | 549 |
| 6 | Jóia | 331531 | 269100 | 3.322222 | 1015 |
| 7 | Cachoeira do Sul | 322647 | 329232 | 2.312022 | 518 |
| 8 | São Luiz Gonzaga | 318761 | 265634 | 3.293664 | 530 |
| 9 | São Miguel das Missões | 303120 | 252600 | 3.323684 | 487 |
| 10 | São Gabriel | 300334 | 254520 | 2.520000 | 498 |
| 11 | Lagoa Vermelha | 276055 | 165600 | 3.600000 | 480 |
| 12 | Espumoso | 255456 | 191640 | 3.728405 | 867 |
| 13 | Giruá | 244598 | 214560 | 3.300923 | 1225 |
| 14 | Vacaria | 230384 | 187000 | 3.400000 | 208 |
| 15 | Capão do Cipó | 228773 | 183184 | 2.896190 | 294 |
| 16 | Dom Pedrito | 224640 | 192000 | 1.920000 | 233 |
| 17 | Muitos Capões | 215365 | 175500 | 3.900000 | 156 |
| 18 | Ibirubá | 212267 | 159240 | 3.755660 | 1005 |
| 19 | Santa Maria | 198770 | 157904 | 3.200000 | 323 |
| 20 | Boa Vista do Cadeado | 184052 | 148770 | 3.609170 | 353 |
| Note: | |||||
| 1 in x1000 R$; | |||||
| 2 in tonnes; | |||||
| 3 in tones/ha |
Goals
This dashboard allows us to describe the behavior of some variables related to the soybean production in the Rio Grande do Sul for 2017 and 2018. It was developed as a visualization tool for the data used in the paper entitled ``Modeling soybean production value in the Rio Grande do Sul with GAMLSS’’, which is accepted to Communications in Statistics: Case Studies, Data Analysis and Applications, ISSN: 2373-7484.
The data
The data are obtained from the Department of Economics and Statistics (DEE) of Rio Grande do Sul and is available in the link http://feedados.fee.tche.br/feedados/. The Rio Grande do Sul has 497 cities, of which 405 had soybean production in 2017 and 418 in 2018.
Source files
The current application was implemented in the R Project for Statistical Computing, and the codes are available in the link https://github.com/dashboards15/soybean.